Hi! I'm Rishubh, a 4th year PhD student at VILAB, EPFL, advised by Amir Zamir. My research is broadly focused on multimodal learning, large-scale modeling and training, low-resolution perception and scientific discovery. Currently, I'm working on learning multimodal representations that enable scalable training and reasoning, and on closed-loop optimization for scientific discovery. Inspired by nature, I'm also interested in low-resolution perception for robotic control and in bringing multimodal learning to edge setups.

Previously, I was a Pre-Doctoral Researcher at Google Research India, where I worked with Pradeep Shenoy on cognitively inspired deep vision models. Before that, I was a quantitative software engineer at Graviton Research Capital and a software engineering intern at Google, Mountain View. I received a dual B.Tech. + M.Tech. degree in Computer Science from IIT Delhi.